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When you click the Knit button a document will be generated that includes both content as well as the output of any embedded R code chunks within the document. You can embed an R code chunk like this:
library(gapminder)
summary(gapminder)## country continent year lifeExp
## Afghanistan: 12 Africa :624 Min. :1952 Min. :23.60
## Albania : 12 Americas:300 1st Qu.:1966 1st Qu.:48.20
## Algeria : 12 Asia :396 Median :1980 Median :60.71
## Angola : 12 Europe :360 Mean :1980 Mean :59.47
## Argentina : 12 Oceania : 24 3rd Qu.:1993 3rd Qu.:70.85
## Australia : 12 Max. :2007 Max. :82.60
## (Other) :1632
## pop gdpPercap
## Min. :6.001e+04 Min. : 241.2
## 1st Qu.:2.794e+06 1st Qu.: 1202.1
## Median :7.024e+06 Median : 3531.8
## Mean :2.960e+07 Mean : 7215.3
## 3rd Qu.:1.959e+07 3rd Qu.: 9325.5
## Max. :1.319e+09 Max. :113523.1
## You can also embed plots, for example:
library(ggplot2)
library(plotly)
library(tidyverse)
library(hrbrthemes)
gg = gapminder %>%
filter(year=="1952" & country!="Kuwait") %>%
ggplot( aes(x=gdpPercap, y=lifeExp, color=continent, size=pop*10, alpha=95)) +
geom_point() +
labs(x="GDP per Cap", y="Life Expectency",title="Life Expectency per GDP") +
theme_ft_rc()
ggplotly(gg)